A Short-Term Regional Wind Power Prediction Method Based on XGBoost and Multi-stage Features Selection

Research article (2020 IEEE 3rd Student Conference on Electrical Machines and Systems (SCEMS), 2020) · cited 12× · AI/ML
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A Short-Term Regional Wind Power Prediction Method Based on XGBoost and Multi-stage Features Selection

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A Short-Term Regional Wind Power Prediction Method Based on XGBoost and Multi-stage Features Selection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Short-Term Regional Wind Power Prediction Method Based on XGBoost and Multi-stage Features Selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-short-term-regional-wind-power-prediction-method-based-on-xgboost-and-multi-stage-features-selection
MLA “A Short-Term Regional Wind Power Prediction Method Based on XGBoost and Multi-stage Features Selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-short-term-regional-wind-power-prediction-method-based-on-xgboost-and-multi-stage-features-selection.
BibTeX @misc{4ortxyz_a-short-term-regional-wind-power-prediction-method-based-on-xgboost-and-multi-stage-features-selection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Short-Term Regional Wind Power Prediction Method Based on XGBoost and Multi-stage Features Selection}}, year = {2026}, url = {https://4ort.xyz/entity/a-short-term-regional-wind-power-prediction-method-based-on-xgboost-and-multi-stage-features-selection}, note = {Accessed: 2026-05-24}}
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